Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

POT : Python Optimal Transport

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

A collection of implementations of deep domain adaptation algorithms

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

pytorch implementation of Domain-Adversarial Training of Neural Networks

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

python 3 pytorch implementation of DANN

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)

EANet: Enhancing Alignment for Cross-Domain Person Re-identification

ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

IJCAI2020 & IJCV2021 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo